code: def __init__(self, **_):
      super(VGG, self).__init__()
  
      # [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'M', 512, 512, 512, 'M', 512, 512, 512]
      self.stage1 = self.make_layers(3, [64, 64])
      self.stage2 = self.make_layers(64, ["M", 128, 128])
      self.stage3 = self.make_layers(128, ["M", 256, 256, 256])
      self.stage4 = self.make_layers(256, ["M", 512, 512, 512])
      self.stage5 = self.make_layers(512, ["M", 512, 512, 512])
  
      self._initialize_weights()
  
imports: import torch
  import torch.nn
  from torchvision.models._utils import IntermediateLayerGetter
  from torch.hub import load_state_dict_from_url
  from torchvision.models.resnet import BasicBlock
label_desc: Use image node_id 1 to create a new VGG object from inherited base classes: nn with example: obj = VGG()